Data Analyst I

Redstone Federal Credit Union

2d•Onsite

About The Position

Collaborates with business owners, data scientists, and data engineers to identify, prioritize and formulate relevant data analysis efforts. Collects, integrates, cleans and refines data and conducts Exploratory Data Analysis (EDA). Communicates results and implications to team members and internal customers. Creates user-friendly reports and dashboards and trains customers on their interpretation and use. Data Analyst I is distinguished from Data Analyst II by their applicable knowledge level and experience. Those in the later position would have the responsibility for performing more complex data analytics and designing experiments, with a sound understanding of Credit Union business operations, products and compliance requirements.

Requirements

4 Year / Bachelors Degree - Business Analytics, Economics, Statistics, Finance, or closely related field - Required
1 Year- Responsible business domain experience in data analytics - analytical experience in consumer finance preferred - Required
Experience with various data/analytical tools (e.g., Excel, SQL, SAS/SPSS, PowerBI, Tableau, Incorta) - Required
Effectively apply internal/external customer service practices and processes to meet quality service standards and achieve member satisfaction.
Learn and apply information, on a wide range of Credit Union products, services and regulatory compliance requirements, in order to assess member situations and develop solutions.
Communicate in a professional manner and deliver information clearly and effectively.
Actively listen to questions, opinions and ideas of others.
Use tact and diplomacy in sensitive and confidential situations.
Use correct English including spelling, grammar and punctuation.
Understand and follow written and oral instructions.
Strong analytical aptitude with a driving curiosity to identify, formulate, and solve problems.
Ability to assess cost trade-offs related to decision-making and further data acquisition/analysis in a business context.
Comfortable deriving business implications from data/analyses and making recommendations for business action--even in the absence of complete information.
Desire and ability to continuously learn new analytical methods and tools in order to have increasing impact on business results.
Ability to train and develop others.
Set priorities and manage one’s own time effectively.

Nice To Haves

Experience with programming languages (e.g. Python or R) for data cleaning, exploratory/descriptive data analysis - Preferred

Responsibilities

Conducts descriptive and exploratory analytics, understanding and communicating what a dataset can tell us about (for example) members, products, processes, competition, the economic environment, and marketing promotions.
Creates reports, visualizations and dashboards to answer business questions.
Trains business customers on their interpretation and use.
Assesses data cleanliness and cleans data, ensuring accuracy, completeness, reliability, relevance and timeliness.
Continuously builds domain expertise in various credit union subject areas, such as (for example) marketing, underwriting, fraud, and servicing channels.
Completes all required training programs to maintain a current knowledge applicable to assigned duties and responsibilities, including regulatory compliance requirements.
Maintains a professional image and demeanor at all times, consistently demonstrating Credit Union RISE Values and adhering to the Code of Ethics.
Delivers friendly, caring service to internal and external members.
Complies with all applicable State, Federal and NCUA rules and regulations and all Credit Union policies and procedures.
Follow all physical and online security procedures and maintain strict confidentiality of all member information.
Completes all required regulatory and compliance training and maintains required knowledge of Credit Union products and services.
Works scheduled hours and maintains punctuality.
Performs other related duties as assigned or requested.